Logistics distribution planning method and device for battery core wire assembly section

Abstract

The invention discloses a logistics distribution planning method and device for a battery core wire assembly section, and relates to the technical field of lithium battery production, and the planning method comprises the steps: obtaining the basic data of the battery core wire assembly section, and sorting a logistics simulation planning scheme according to the basic data; building a logistics distribution simulation model in simulation software according to the logistics simulation planning scheme; setting operation parameters, performing simulation operation on the logistics distribution simulation model, and performing model evaluation according to a simulation operation result; and if the model evaluation result does not meet the preset standard, optimizing the logistics simulation planning scheme and counting the optimization cost, and selecting the logistics simulation planning scheme with the lowest optimization cost and the model evaluation result meeting the preset standard as a final scheme. According to the method, quantitative data and a visual interaction model can be simulated and output according to the planning scheme, and the rationality of the battery core wire assembly section logistics planning scheme is quickly verified, so that the assembly section logistics scheme is effectively optimized, the planning cost is reduced, the generation efficiency is improved, and the benefit is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery production, and in particular to a logistics distribution planning method and device for a battery core line assembly section. Background Art

[0002] As a crucial component of new energy vehicles, the quality of batteries directly impacts their development and application prospects. Batteries contain numerous materials that enable them to store energy. Power batteries primarily consist of lithium cobalt oxide (a positive electrode active material), a special composite membrane, carbon (a negative electrode active material), an organic electrolyte, and a battery casing. A battery cell, a single electrochemical cell containing both positive and negative electrodes, is typically not used directly, and its quality determines the quality of the battery. During the cell production process, assembly lines are required. However, the existing logistics and distribution for cell assembly lines lack effective planning, resulting in complex structures and low production efficiency. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a method and device for planning logistics distribution of a battery core wire assembly section, so as to solve the technical problems that the logistics distribution of the existing battery core wire assembly section lacks effective planning, has a complex structure and low production efficiency.

[0004] To achieve the above object, the present invention is implemented by adopting the following technical solutions: In a first aspect, the present invention provides a logistics distribution planning method for a battery core wire assembly section, comprising: Obtain basic data of the battery core wire assembly section and formulate a logistics simulation planning scheme based on the basic data; Building a logistics distribution simulation model in the simulation software according to the logistics simulation planning scheme; Setting operation parameters and running a simulation on the logistics distribution simulation model, and performing model evaluation based on the simulation results; If the model evaluation result does not meet the preset standards, the logistics simulation planning scheme is optimized and the optimization cost is calculated, and the logistics simulation planning scheme with the lowest optimization cost and the model evaluation result meeting the preset standards is selected as the final scheme.

[0005] The above technical solution builds a logistics and distribution simulation model for the battery cell assembly section as a way to simulate project implementation. Based on the planning scheme, it simulates and outputs quantitative data and a visual interactive model to quickly verify the rationality of the logistics planning scheme for the battery cell assembly section. It can quickly identify risks before the project is implemented, optimize the logistics plan for the assembly section, and help the project be implemented safely and efficiently, thereby reducing planning costs, improving generation efficiency, and increasing benefits.

[0006] Optionally, the basic data of the battery core wire assembly segment includes layout information, product information, process information, production factor information, and material flow information.

[0007] The above technical solution provides strong data support for the subsequent sorting out of logistics simulation planning schemes by determining the relevant data of the battery core wire assembly section. The selection, integrity and standardization of the supporting data directly affect the formulation of the subsequent logistics simulation planning schemes. Based on field experience, the present invention selects the above basic data as supporting data.

[0008] Optionally, the combing logistics simulation planning scheme includes: Standardize the basic data obtained, and standardize the material types, required material quantities, and material buffer quantities of the battery cell equipment and battery cell wire assembly sections; Based on the process route, standardize the processing equipment, processing time and processing steps related to the battery core wire assembly section; For production planning, generate daily production plans based on historical data forecasts, production orders and inventory status; For the shift schedule, generate the production staff shift duration and schedule according to the daily production plan; Based on the production line layout, design the production line equipment, logistics conveyor lines, number of empty pallets and pallet buffer quantity; For the logistics conveyor line in the assembly section, set the logistics conveyor line operation route and operation plan; For the number of empty pallets and battery cell buffers, design the number of empty pallets and battery cell buffers based on the material objects.

[0009] The above technical solution can derive a planned logistics route based on information such as layout, products, processes, and material flow. The basic data of the battery cell assembly section obtained in the early stage is used as the basis for importing the simulation model. The planned route is the operating route of the production line logistics, and all subsequent data are simulated on this basis.

[0010] Optionally, the model evaluation according to the simulation operation results includes: obtaining the feasibility of the logistics simulation planning scheme according to the utilization rate and daily production capacity of each equipment in the battery wire assembly section.

[0011] In the above technical solution, equipment utilization refers to the proportion of production equipment processing time to total operating time, and daily production capacity refers to the number of battery cells produced per day. Equipment utilization and daily production capacity directly affect production efficiency. Therefore, the present invention uses equipment utilization and daily production capacity to evaluate the feasibility of the planning solution.

[0012] In a second aspect, the present invention provides a logistics distribution planning device for a battery core wire assembly section, comprising: A solution sorting module is configured to obtain basic data of the battery core wire assembly section and sort out the logistics simulation planning solution based on the basic data; A model building module is configured to build a logistics distribution simulation model in the simulation software according to the logistics simulation planning scheme; a model evaluation module configured to set operating parameters and simulate the operation on the logistics distribution simulation model, and perform model evaluation based on the simulation operation results; The scheme optimization module is configured to optimize the logistics simulation planning scheme and calculate the optimization cost if the model evaluation result does not meet the preset standard, and select the logistics simulation planning scheme with the lowest optimization cost and the model evaluation result meeting the preset standard as the final scheme.

[0013] Optionally, the basic data of the battery core wire assembly segment includes layout information, product information, process information, production factor information, and material flow information.

[0014] Optionally, the combing logistics simulation planning scheme includes: Standardize the basic data obtained, and standardize the material types, required material quantities, and material buffer quantities of the battery cell equipment and battery cell wire assembly sections; Based on the process route, standardize the processing equipment, processing time and processing steps related to the battery core wire assembly section; For production planning, generate daily production plans based on historical data forecasts, production orders and inventory status; For the shift schedule, generate the production staff shift duration and schedule according to the daily production plan; Based on the production line layout, design the production line equipment, logistics conveyor lines, number of empty pallets and pallet buffer quantity; For the logistics conveyor line in the assembly section, set the logistics conveyor line operation route and operation plan; For the number of empty pallets and battery cell buffers, design the number of empty pallets and battery cell buffers based on the material objects.

[0015] Optionally, the model evaluation according to the simulation operation results includes: obtaining the feasibility of the logistics simulation planning scheme according to the utilization rate and daily production capacity of each equipment in the battery wire assembly section.

[0016] In a third aspect, the present invention provides an electronic device, including a processor and a storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the above method.

[0017] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when executed by a processor.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a logistics distribution planning method and device for a battery wire assembly section. By building a logistics distribution simulation model for the battery wire assembly section as a way to simulate project implementation, quantitative data and a visual interactive model are simulated and output based on the planning scheme to quickly verify the rationality of the logistics planning scheme for the battery wire assembly section. This method can quickly identify risks before the project is implemented, optimize the logistics scheme for the assembly section, and help the project be implemented safely and efficiently, thereby reducing planning costs, improving generation efficiency, and increasing benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 1 is a flow chart of a method for logistics distribution planning of a battery core wire assembly section provided by an embodiment of the present invention; Figure 2 Schematic diagram of the simulation interface of the simulation model and operation process provided by the embodiment of the present invention; Figure 3 It is a schematic diagram of the overall benefit analysis after optimization provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention.

[0021] Example 1:

[0022] like Figure 1 As shown, an embodiment of the present invention provides a logistics distribution planning method for a battery core wire assembly section, comprising the following steps: Step S1: Obtain basic data of the battery core wire assembly section and sort out the logistics simulation planning scheme based on the basic data.

[0023] Specifically in this embodiment, the basic data of the battery core wire assembly segment includes layout information, product information, process information, production factor information, and material flow information.

[0024] By determining the relevant data of the battery core wire assembly section, strong data support is provided for the subsequent sorting out of the logistics simulation planning scheme. The selection, integrity and standardization of the supporting data directly affect the formulation of the subsequent logistics simulation planning scheme. Based on field experience, the present invention selects the above basic data as supporting data.

[0025] Specifically in this embodiment, the logistics simulation planning scheme includes: Standardize the basic data obtained, and standardize the material types, required material quantities, and material buffer quantities of the battery cell equipment and battery cell wire assembly sections; Based on the process route, standardize the processing equipment, processing time and processing steps related to the battery core wire assembly section; For production planning, generate daily production plans based on historical data forecasts, production orders and inventory status; For the shift schedule, generate the production staff shift duration and schedule according to the daily production plan; Based on the production line layout, design the production line equipment, logistics conveyor lines, number of empty pallets and pallet buffer quantity; For the logistics conveyor line in the assembly section, set the logistics conveyor line operation route and operation plan; For the number of empty pallets and battery cell buffers, design the number of empty pallets and battery cell buffers based on the material objects.

[0026] The present invention can derive a planned logistics route based on information such as layout, products, processes, and material flow. The basic data of the battery wire assembly section obtained in the early stage is used as the basis for importing the simulation model. The planned route is the operating route of the production line logistics, and all subsequent data are simulated on this basis.

[0027] Step S2: Building a logistics distribution simulation model in the simulation software according to the logistics simulation planning scheme.

[0028] Specifically in this embodiment, a logistics distribution simulation model is built using Flexsim simulation software based on the logistics simulation planning solution, and the simulation operation is evaluated by importing the planned cycle time, yield rate, failure rate and other information into the built simulation model.

[0029] Step S3: Set the operation parameters and simulate the operation on the logistics distribution simulation model, and perform model evaluation based on the simulation operation results.

[0030] Specifically, in this embodiment, the model evaluation based on the simulation operation results includes: obtaining the feasibility of the logistics simulation planning scheme based on the utilization rate and daily production capacity of each device in the battery core assembly section.

[0031] Equipment utilization refers to the percentage of production equipment processing time spent on a facility compared to its total operating time, while daily production capacity refers to the number of cells produced per day. Both equipment utilization and daily production capacity directly impact production efficiency, so this paper uses these factors to evaluate the feasibility of planning solutions.

[0032] Step S4: If the model evaluation result does not meet the preset standard, the logistics simulation planning scheme is optimized and the optimization cost is calculated, and the logistics simulation planning scheme with the lowest optimization cost and the model evaluation result meeting the preset standard is selected as the final scheme.

[0033] Evaluate the rationality of planning schemes by comparing daily production capacity and equipment utilization rates. For unreasonable logistics or equipment schemes or schemes with room for improvement, list other schemes for simulation and compare the changes in daily production capacity and equipment utilization rates after improvement. The higher the daily production capacity and equipment utilization rates, the better the effect.

[0034] Taking the simulation model of logistics distribution of a certain battery wire assembly section in the planning period as an example, the data collection information is shown in Table 1. In the process of planning the logistics of the battery wire assembly section, the magnetic levitation transmission mode - S-type logistics transmission line and the traditional design straight logistics transmission line are taken as examples. The simulation model and operation process are shown in Table 1. Figure 2 shown.

[0035] Table 1: Equipment parameters

[0036] The simulation time is 43200 min, or 30 working days. The daily production capacity and assembly equipment utilization results are output from the simulation model, as shown in Tables 2 and 3.

[0037] Table 2: Daily production capacity before optimization

[0038] Table 3: Equipment utilization before optimization

[0039] Optimization solution for magnetic levitation transmission-S-type logistics transmission line: Place the maximum number of empty pallets between each section of the logistics line; Set up buffer stations at the testing station, ultrasonic welding station, and connecting piece welding station; The simulation model was rerun with a simulation time of 43,200 min, or 30 working days. The daily production capacity and assembly equipment utilization results were output from the simulation model, as shown in Tables 4 and 5.

[0040] Table 4: Daily production capacity after optimization

[0041] Table 5: Equipment utilization after optimization

[0042] It can be seen from Table 4 that the optimization has greatly improved the daily production capacity, and from Table 5 it can be seen that after optimization, the equipment utilization rate of the assembly section has been improved to varying degrees on each piece of equipment.

[0043] like Figure 3 As shown: 1. Based on a 10% alarm rate for assembly equipment, the use of a magnetic levitation transmission - S-shaped logistics transmission line can increase the number of battery cells per month by 1,887 compared to the traditional linear logistics transmission line, resulting in an annual increase in profits of approximately 115,400 yuan.

[0044] 2. After the equipment failure rate is reduced by 50%, the use of magnetic levitation transmission - S-shaped logistics transmission line can increase the production of 3,258 battery cells per month, and increase profits by approximately 163,000 yuan per year.

[0045] It can be seen that after the plan was adjusted, the company's profits were increased, while the maximum use of production equipment was ensured, achieving the goal of increasing efficiency.

[0046] In summary, the embodiment of the present invention builds a logistics distribution simulation model of the battery wire assembly section as a way to simulate project implementation, simulates and outputs quantitative data and a visual interactive model based on the planning scheme, and quickly verifies the rationality of the logistics planning scheme of the battery wire assembly section. It can quickly identify risks before the project is implemented, optimize the logistics plan of the assembly section, and help the project to be implemented safely and efficiently, thereby reducing planning costs, improving generation efficiency, and increasing benefits.

[0047] Example 2:

[0048] An embodiment of the present invention provides a logistics distribution planning device for a battery core wire assembly section, comprising: A solution sorting module is configured to obtain basic data of the battery core assembly section and sort out logistics simulation planning solutions based on the basic data; a model building module configured to build a logistics distribution simulation model in the simulation software according to the logistics simulation planning scheme; A model evaluation module is configured to set operation parameters and simulate the operation on the logistics distribution simulation model, and perform model evaluation based on the simulation operation results; The solution optimization module is configured to optimize the logistics simulation planning solution and calculate the optimization cost if the model evaluation result does not meet the preset standards, and select the logistics simulation planning solution with the lowest optimization cost and the model evaluation result that meets the preset standards as the final solution.

[0049] Specifically, the basic data of the battery cell assembly segment includes layout information, product information, process information, production factor information, and material flow information.

[0050] Specifically, the logistics simulation planning scheme includes: Standardize the basic data obtained, and standardize the material types, required material quantities, and material buffer quantities of the battery cell equipment and battery cell wire assembly sections; Based on the process route, standardize the processing equipment, processing time and processing steps related to the battery core wire assembly section; For production planning, generate daily production plans based on historical data forecasts, production orders and inventory status; For the shift schedule, generate the production staff shift duration and schedule according to the daily production plan; Based on the production line layout, design the production line equipment, logistics conveyor lines, number of empty pallets and pallet buffer quantity; For the logistics conveyor line in the assembly section, set the logistics conveyor line operation route and operation plan; For the number of empty pallets and battery cell buffers, design the number of empty pallets and battery cell buffers based on the material objects.

[0051] Specifically, model evaluation based on simulation results includes: obtaining the feasibility of the logistics simulation planning scheme based on the utilization rate and daily production capacity of each equipment in the battery line assembly section.

[0052] Example 3:

[0053] Based on the logistics distribution planning method for a battery wire assembly section provided in the first embodiment, the embodiment of the present invention provides an electronic device, including a processor and a storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the above method.

[0054] Example 4:

[0055] Based on the logistics distribution planning method for a battery core wire assembly section provided in Example 1, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when executed by a processor.

[0056] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0057] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0058] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0059] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0060] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A logistics distribution planning method for a battery core wire assembly section, characterized in that: include: Obtain basic data of the battery core wire assembly section and formulate a logistics simulation planning scheme based on the basic data; Building a logistics distribution simulation model in the simulation software according to the logistics simulation planning scheme; Setting operation parameters and running a simulation on the logistics distribution simulation model, and performing model evaluation based on the simulation results; If the model evaluation result does not meet the preset standards, the logistics simulation planning scheme is optimized and the optimization cost is calculated, and the logistics simulation planning scheme with the lowest optimization cost and the model evaluation result meeting the preset standards is selected as the final scheme.

2. The logistics distribution planning method for the battery core wire assembly section according to claim 1 is characterized in that: The basic data of the battery core wire assembly section includes layout information, product information, process information, production factor information, and material flow information.

3. The logistics distribution planning method for the battery core wire assembly section according to claim 1 is characterized in that: The combing logistics simulation planning scheme includes: Standardize the basic data obtained, and standardize the material types, required material quantities, and material buffer quantities of the battery cell equipment and battery cell wire assembly sections; Based on the process route, standardize the processing equipment, processing time and processing steps related to the battery core wire assembly section; For production planning, generate daily production plans based on historical data forecasts, production orders and inventory status; For the shift schedule, generate the production staff shift duration and schedule according to the daily production plan; Based on the production line layout, design the production line equipment, logistics conveyor lines, number of empty pallets and pallet buffer quantity; For the logistics conveyor line in the assembly section, set the logistics conveyor line operation route and operation plan; For the number of empty pallets and battery cell buffers, design the number of empty pallets and battery cell buffers based on the material objects.

4. The logistics distribution planning method for the battery core wire assembly section according to claim 1, characterized in that: The model evaluation based on the simulation operation results includes: obtaining the feasibility of the logistics simulation planning scheme based on the utilization rate and daily production capacity of each equipment in the battery line assembly section.

5. A logistics distribution planning device for a battery core wire assembly section, characterized in that: include: A solution sorting module is configured to obtain basic data of the battery core wire assembly section and sort out the logistics simulation planning solution based on the basic data; A model building module is configured to build a logistics distribution simulation model in the simulation software according to the logistics simulation planning scheme; a model evaluation module configured to set operating parameters and simulate the operation on the logistics distribution simulation model, and perform model evaluation based on the simulation operation results; The scheme optimization module is configured to optimize the logistics simulation planning scheme and calculate the optimization cost if the model evaluation result does not meet the preset standard, and select the logistics simulation planning scheme with the lowest optimization cost and the model evaluation result meeting the preset standard as the final scheme.

6. The logistics distribution planning device for the battery core wire assembly section according to claim 5, characterized in that: The basic data of the battery core wire assembly section includes layout information, product information, process information, production factor information, and material flow information.

7. The logistics distribution planning device for the battery core wire assembly section according to claim 5, characterized in that: The combing logistics simulation planning scheme includes: Standardize the basic data obtained, and standardize the material types, required material quantities, and material buffer quantities of the battery cell equipment and battery cell wire assembly sections; Based on the process route, standardize the processing equipment, processing time and processing steps related to the battery core wire assembly section; For production planning, generate daily production plans based on historical data forecasts, production orders and inventory status; For the shift schedule, generate the production staff shift duration and schedule according to the daily production plan; Based on the production line layout, design the production line equipment, logistics conveyor lines, number of empty pallets and pallet buffer quantity; For the logistics conveyor line in the assembly section, set the logistics conveyor line operation route and operation plan; For the number of empty pallets and battery cell buffers, design the number of empty pallets and battery cell buffers based on the material objects.

8. The logistics distribution planning device for the battery core wire assembly section according to claim 5, characterized in that: The model evaluation based on the simulation operation results includes: obtaining the feasibility of the logistics simulation planning scheme based on the utilization rate and daily production capacity of each equipment in the battery line assembly section.

9. An electronic device, characterized in that: including processors and storage media; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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